基于4类峰值位图块的可逆信息隐藏  

A Reversible Data Hiding Method Based on Four Types of Peak Bitmaps

作　　者：夏婷婷 刘奇 XIA Tingting;LIU Qi(School of Mathematics and Computer,Wuyi University,Wuyishan,Fujian 354300,China;Fujian Key Laboratory of Big Data Application and Intellectualization for Tea Industry,Fujian 354300,China)

机构地区：[1]武夷学院数学与计算机学院,福建武夷山354300 [2]福建省茶产业大数据应用与智能化重点实验室,福建武夷山354300.

出　　处：《西昌学院学报（自然科学版）》2022年第3期79-84,共6页Journal of Xichang University(Natural Science Edition)

基　　金：福建省中青年教师教育科研项目(科技类)(JAT200671);福建省自然科学基金项目(2021J011145)。

摘　　要：AMBTC压缩技术被广泛地应用于信息隐藏领域,这类方法主要是通过对高、低量化值的判断,选择用于信息隐藏的位图块。因此,如何简单有效地选用更多位图块,这对方案的性能优劣起到关键性作用。基于此,提出了一种基于4类峰值位图块的可逆信息隐藏方案。方案采取2种策略对秘密信息进行隐藏,一类藏于4类峰值位图块内,一类藏于高、低量化值相等的位图块中。前者,采用(7,4)汉明码的信息隐藏策略;后者,采用秘密信息直接替换位图的方法。同时,将采用对高量化值的最低比特位进行标识、记录,用来区分4类峰值位图的第1个位图和其他位图。实验结果表明,该方案的效果优于1种峰值位图和2种峰值位图方案,在保持较高图像质量的同时,大大提高了信息隐藏量。AMBTC compression technology is widely used in the field of information hiding. This method mainly selects the bitmap blocks for information hiding by judging high and low quantization values. Therefore,how to use more blocks simply and effectively plays a key role in the performance of the scheme. A reversible information hiding scheme based on four kinds of peak bitmap blocks is proposed in this paper. The scheme adopts two strategies to hide secret information:one is to hide secret information in four types of peak bitmap blocks,and the other is to hide secret information in bitmap blocks with equal high and low quantization values. The former adopts(7,4)hamming code information hiding strategy,and the latter uses secret information to replace bitmaps directly. At the same time,the lowest bit of the high quantization value will be identified and recorded to distinguish the first bitmap of the four types of peak bitmaps from other bitmaps.Experimental results show that the proposed scheme is superior to one peak bitmap scheme and two peak bitmap schemes,and greatly improves the amount of information hiding while maintaining high image quality.

关 键 词：灰度图像 可逆信息隐藏 4类峰值位图 AMBTC 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]